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Trainee Remote Ai Training Jobs in Indiana (NOW HIRING)

micro1 AI

AI Legal Counsel - Remote

South Bend, IN · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

AI Legal Counsel - Remote

Fishers, IN · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

AI Legal Counsel - Remote

Indianapolis, IN · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

AI Legal Counsel - Remote

Carmel, IN · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

DataAnnotation

Programmer - AI Trainer

Fort Wayne, IN · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Coder (this is an opportunity to work ...

BSI Group

Development and maintenance of the AI Technical and AI Notified Body training and competence ... This is a remote position that can be based in the UK or within the EMEA region. As compensation ...

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Trainee Remote Ai Training information

What is a trainee remote AI training?

Trainee remote AI training jobs are entry-level positions where individuals assist in training artificial intelligence systems from a remote location. These roles typically involve tasks such as data labeling, reviewing AI outputs, and providing feedback to help improve machine learning models. Trainees may work on projects involving natural language processing, image recognition, or other AI fields. No advanced technical background is usually required, but attention to detail and basic computer skills are important. These positions offer valuable experience for those interested in pursuing a career in artificial intelligence or data science.

What does a trainee remote AI training specialist do?

As a Trainee Remote AI Training specialist, you can expect to work on tasks such as labeling data, evaluating AI-generated outputs, and providing feedback to improve machine learning models. This might include categorizing images, reviewing chatbot conversations, or annotating text for sentiment or intent. You'll usually collaborate remotely with a diverse team and communicate through project management platforms or regular video calls. The variety of data and projects will help you develop a deeper understanding of AI systems and prepare you for more advanced roles in the field.

What are the key skills and qualifications needed to thrive as a trainee remote AI training specialist?

To thrive as a Trainee Remote AI Training Specialist, you need strong analytical skills, attention to detail, and the ability to follow detailed instructions, often supported by a background in data processing or related fields. Familiarity with annotation tools, basic data management systems, and sometimes experience with platforms like Python or labeling software are common technical requirements. Excellent communication, time management, and a proactive attitude help you collaborate effectively and adapt to evolving project needs. These skills ensure the accurate preparation of high-quality data, which is critical for developing effective AI models.

What is the difference between Trainee Remote Ai Training vs Data Annotator?

AspectTrainee Remote Ai TrainingData Annotator
CredentialsBasic technical skills, training programsNone typically required, on-the-job training
Work EnvironmentRemote, supervised training sessionsRemote or on-site, task-specific
Industry UsageEntry-level AI development, training modelsData labeling for AI and machine learning
Search & Comparison IntentLearning roles, entry-level AI trainingData labeling, annotation jobs

In summary, Trainee Remote Ai Training focuses on learning and preparing for AI model development through training programs, while Data Annotator involves performing specific data labeling tasks to support AI training. Both roles are remote and entry-level but differ in purpose and required skills.

Are there remote jobs to train AI?

Yes, remote AI training jobs are available and often involve tasks such as data labeling, annotation, and model evaluation. These roles typically require strong attention to detail, familiarity with AI tools, and the ability to work independently in a remote environment.

How to get hired to train AI as a Trainee Remote Ai Training?

To get hired as a trainee in remote AI training, candidates should have a strong understanding of machine learning concepts, data annotation, and basic programming skills in languages like Python. Relevant experience with data labeling tools and a willingness to learn are often required, along with a good internet connection and the ability to work independently. Entry-level positions may also require completing online training modules or certifications related to AI and data annotation.

What are popular job titles related to Trainee Remote Ai Training jobs in Indiana?

For Trainee Remote Ai Training jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Trainee Remote Ai Training jobs in Indiana look for?

The top searched job categories for Trainee Remote Ai Training jobs in Indiana are:

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Cities in Indiana with the most Trainee Remote Ai Training job openings:

Trainee Remote Ai Training jobs near you

AI Legal Counsel - Remote

micro1 AI

South Bend, IN • Remote

$90 - $130/hr

Part-time

Posted 14 days ago

Job description

Job Title: Transactional Attorney


Job Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

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